ASM: a very small and fast Java bytecode manipulation framework
Copyright (c) 2000-2011 INRIA, France Telecom
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
1. Redistributions of source code must retain the above copyright
  notice, this list of conditions and the following disclaimer.

    * Si on n'utilisait pas FastAPI mais directement Starlette (ou un outil équivalent comme Sanic, Flask, Responder, etc) il faudrait implémenter la validation des données et la sérialisation par nous-même. Le résultat...

org.ow2.asm:asm
org.ow2.asm:asm-analysis
org.ow2.asm:asm-commons
org.ow2.asm:asm-tree
org.ow2.asm:asm-util
ASM: a very small and fast Java bytecode manipulation framework
 Copyright (c) 2000-2011 INRIA, France Telecom
 All rights reserved.

 Redistribution and use in source and binary forms, with or without
 modification, are permitted provided that the following conditions

    ```Python hl_lines="1  2  12-16"
    {!> ../../../docs_src/extra_data_types/tutorial001.py!}
    ```

Note that the parameters inside the function have their natural data type, and you can, for example, perform normal date manipulations, like:

=== "Python 3.10+"

    ```Python hl_lines="18-19"
    {!> ../../../docs_src/extra_data_types/tutorial001_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="18-19"

Avec **FastAPI** vous aurez toutes les fonctionnalités de **Pydantic**  (comme FastAPI est basé sur Pydantic pour toutes les manipulations de données):

* **Pas de prise de tête**:
    * Pas de nouveau langage de définition de schéma à apprendre.
    * Si vous connaissez le typage en python vous savez comment utiliser Pydantic.

        Keras inputs/outputs. Use `GradientTape` on the actual Tensors passed to
        the already-constructed model instead.
    *   Code that requires very tricky shape manipulation via converted op
        layers in order to work, where the Keras symbolic shape inference proves
        insufficient.
    *   Code that tries manually walking a `tf.keras.Model` layer by layer and